Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Padellini, T. et al. (2022) “Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study”, The Lancet Regional Health - Europe, 15, p. 100322.

Elliott, P. et al. (2022) “Rapid increase in Omicron infections in England during December 2021: REACT-1 study”, Science, 375(6587), pp. eabn8347 – 1406.

Espinosa-Guerra, E. et al. (2022) “Mental health consequences of COVID-19 in house staff physicians”, F1000Research, 11, p. 303.

Unwin, H. et al. (2022) “More than 5.2 million children affected by global surges in COVID-associated orphanhood and caregiver death: new evidence for national responses”, Lancet Child and Adolescent Health, 6(4), pp. 249–259.

Ward, H. et al. (2022) “Population antibody responses following COVID-19 vaccination in 212,102 individuals”, Nature Communications, 13(1), p. 907.

Yaro, J. et al. (2022) “Risk of Plasmodium falciparum infection in south-west Burkina Faso: potential impact of expanding eligibility for seasonal malaria chemoprevention.”, Scientific reports, 12(1), p. 1402.

Ramisch, A. et al. (2022) “Dynamics of gene regulatory organization in longitudinal twin RNA-seq data”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 67–67.

Nicholson, G. et al. (2022) “Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework”, Nature Microbiology, 7(1), pp. 97–107.